//! [`super::usefulness`] explains most of what is happening in this file. As explained there, //! values and patterns are made from constructors applied to fields. This file defines a //! `Constructor` enum, a `Fields` struct, and various operations to manipulate them and convert //! them from/to patterns. //! //! There's one idea that is not detailed in [`super::usefulness`] because the details are not //! needed there: _constructor splitting_. //! //! # Constructor splitting //! //! The idea is as follows: given a constructor `c` and a matrix, we want to specialize in turn //! with all the value constructors that are covered by `c`, and compute usefulness for each. //! Instead of listing all those constructors (which is intractable), we group those value //! constructors together as much as possible. Example: //! //! ``` //! match (0, false) { //! (0 ..=100, true) => {} // `p_1` //! (50..=150, false) => {} // `p_2` //! (0 ..=200, _) => {} // `q` //! } //! ``` //! //! The naive approach would try all numbers in the range `0..=200`. But we can be a lot more //! clever: `0` and `1` for example will match the exact same rows, and return equivalent //! witnesses. In fact all of `0..50` would. We can thus restrict our exploration to 4 //! constructors: `0..50`, `50..=100`, `101..=150` and `151..=200`. That is enough and infinitely //! more tractable. //! //! We capture this idea in a function `split(p_1 ... p_n, c)` which returns a list of constructors //! `c'` covered by `c`. Given such a `c'`, we require that all value ctors `c''` covered by `c'` //! return an equivalent set of witnesses after specializing and computing usefulness. //! In the example above, witnesses for specializing by `c''` covered by `0..50` will only differ //! in their first element. //! //! We usually also ask that the `c'` together cover all of the original `c`. However we allow //! skipping some constructors as long as it doesn't change whether the resulting list of witnesses //! is empty of not. We use this in the wildcard `_` case. //! //! Splitting is implemented in the [`Constructor::split`] function. We don't do splitting for //! or-patterns; instead we just try the alternatives one-by-one. For details on splitting //! wildcards, see [`SplitWildcard`]; for integer ranges, see [`SplitIntRange`]. use std::{ cell::Cell, cmp::{max, min}, iter::once, ops::RangeInclusive, }; use hir_def::{EnumVariantId, HasModule, LocalFieldId, VariantId}; use smallvec::{smallvec, SmallVec}; use stdx::never; use crate::{ infer::normalize, inhabitedness::is_enum_variant_uninhabited_from, AdtId, Interner, Scalar, Ty, TyExt, TyKind, }; use super::{ is_box, usefulness::{helper::Captures, MatchCheckCtx, PatCtxt}, FieldPat, Pat, PatKind, }; use self::Constructor::*; /// Recursively expand this pattern into its subpatterns. Only useful for or-patterns. fn expand_or_pat(pat: &Pat) -> Vec<&Pat> { fn expand<'p>(pat: &'p Pat, vec: &mut Vec<&'p Pat>) { if let PatKind::Or { pats } = pat.kind.as_ref() { for pat in pats { expand(pat, vec); } } else { vec.push(pat) } } let mut pats = Vec::new(); expand(pat, &mut pats); pats } /// [Constructor] uses this in umimplemented variants. /// It allows porting match expressions from upstream algorithm without losing semantics. #[derive(Copy, Clone, Debug, PartialEq, Eq)] pub(super) enum Void {} /// An inclusive interval, used for precise integer exhaustiveness checking. /// `IntRange`s always store a contiguous range. This means that values are /// encoded such that `0` encodes the minimum value for the integer, /// regardless of the signedness. /// For example, the pattern `-128..=127i8` is encoded as `0..=255`. /// This makes comparisons and arithmetic on interval endpoints much more /// straightforward. See `signed_bias` for details. /// /// `IntRange` is never used to encode an empty range or a "range" that wraps /// around the (offset) space: i.e., `range.lo <= range.hi`. #[derive(Clone, Debug, PartialEq, Eq)] pub(super) struct IntRange { range: RangeInclusive, } impl IntRange { #[inline] fn is_integral(ty: &Ty) -> bool { matches!( ty.kind(Interner), TyKind::Scalar(Scalar::Char | Scalar::Int(_) | Scalar::Uint(_) | Scalar::Bool) ) } fn is_singleton(&self) -> bool { self.range.start() == self.range.end() } fn boundaries(&self) -> (u128, u128) { (*self.range.start(), *self.range.end()) } #[inline] fn from_bool(value: bool) -> IntRange { let val = value as u128; IntRange { range: val..=val } } #[inline] fn from_range(lo: u128, hi: u128, scalar_ty: Scalar) -> IntRange { match scalar_ty { Scalar::Bool => IntRange { range: lo..=hi }, _ => unimplemented!(), } } fn is_subrange(&self, other: &Self) -> bool { other.range.start() <= self.range.start() && self.range.end() <= other.range.end() } fn intersection(&self, other: &Self) -> Option { let (lo, hi) = self.boundaries(); let (other_lo, other_hi) = other.boundaries(); if lo <= other_hi && other_lo <= hi { Some(IntRange { range: max(lo, other_lo)..=min(hi, other_hi) }) } else { None } } fn to_pat(&self, _cx: &MatchCheckCtx<'_, '_>, ty: Ty) -> Pat { match ty.kind(Interner) { TyKind::Scalar(Scalar::Bool) => { let kind = match self.boundaries() { (0, 0) => PatKind::LiteralBool { value: false }, (1, 1) => PatKind::LiteralBool { value: true }, (0, 1) => PatKind::Wild, (lo, hi) => { never!("bad range for bool pattern: {}..={}", lo, hi); PatKind::Wild } }; Pat { ty, kind: kind.into() } } _ => unimplemented!(), } } /// See `Constructor::is_covered_by` fn is_covered_by(&self, other: &Self) -> bool { if self.intersection(other).is_some() { // Constructor splitting should ensure that all intersections we encounter are actually // inclusions. assert!(self.is_subrange(other)); true } else { false } } } /// Represents a border between 2 integers. Because the intervals spanning borders must be able to /// cover every integer, we need to be able to represent 2^128 + 1 such borders. #[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)] enum IntBorder { JustBefore(u128), AfterMax, } /// A range of integers that is partitioned into disjoint subranges. This does constructor /// splitting for integer ranges as explained at the top of the file. /// /// This is fed multiple ranges, and returns an output that covers the input, but is split so that /// the only intersections between an output range and a seen range are inclusions. No output range /// straddles the boundary of one of the inputs. /// /// The following input: /// ``` /// |-------------------------| // `self` /// |------| |----------| |----| /// |-------| |-------| /// ``` /// would be iterated over as follows: /// ``` /// ||---|--||-|---|---|---|--| /// ``` #[derive(Debug, Clone)] struct SplitIntRange { /// The range we are splitting range: IntRange, /// The borders of ranges we have seen. They are all contained within `range`. This is kept /// sorted. borders: Vec, } impl SplitIntRange { fn new(range: IntRange) -> Self { SplitIntRange { range, borders: Vec::new() } } /// Internal use fn to_borders(r: IntRange) -> [IntBorder; 2] { use IntBorder::*; let (lo, hi) = r.boundaries(); let lo = JustBefore(lo); let hi = match hi.checked_add(1) { Some(m) => JustBefore(m), None => AfterMax, }; [lo, hi] } /// Add ranges relative to which we split. fn split(&mut self, ranges: impl Iterator) { let this_range = &self.range; let included_ranges = ranges.filter_map(|r| this_range.intersection(&r)); let included_borders = included_ranges.flat_map(|r| { let borders = Self::to_borders(r); once(borders[0]).chain(once(borders[1])) }); self.borders.extend(included_borders); self.borders.sort_unstable(); } /// Iterate over the contained ranges. fn iter(&self) -> impl Iterator + '_ { use IntBorder::*; let self_range = Self::to_borders(self.range.clone()); // Start with the start of the range. let mut prev_border = self_range[0]; self.borders .iter() .copied() // End with the end of the range. .chain(once(self_range[1])) // List pairs of adjacent borders. .map(move |border| { let ret = (prev_border, border); prev_border = border; ret }) // Skip duplicates. .filter(|(prev_border, border)| prev_border != border) // Finally, convert to ranges. .map(|(prev_border, border)| { let range = match (prev_border, border) { (JustBefore(n), JustBefore(m)) if n < m => n..=(m - 1), (JustBefore(n), AfterMax) => n..=u128::MAX, _ => unreachable!(), // Ruled out by the sorting and filtering we did }; IntRange { range } }) } } /// A constructor for array and slice patterns. #[derive(Copy, Clone, Debug, PartialEq, Eq)] pub(super) struct Slice { _unimplemented: Void, } impl Slice { fn arity(self) -> usize { match self._unimplemented {} } /// See `Constructor::is_covered_by` fn is_covered_by(self, _other: Self) -> bool { match self._unimplemented {} } } /// A value can be decomposed into a constructor applied to some fields. This struct represents /// the constructor. See also `Fields`. /// /// `pat_constructor` retrieves the constructor corresponding to a pattern. /// `specialize_constructor` returns the list of fields corresponding to a pattern, given a /// constructor. `Constructor::apply` reconstructs the pattern from a pair of `Constructor` and /// `Fields`. #[allow(dead_code)] #[derive(Clone, Debug, PartialEq)] pub(super) enum Constructor { /// The constructor for patterns that have a single constructor, like tuples, struct patterns /// and fixed-length arrays. Single, /// Enum variants. Variant(EnumVariantId), /// Ranges of integer literal values (`2`, `2..=5` or `2..5`). IntRange(IntRange), /// Ranges of floating-point literal values (`2.0..=5.2`). FloatRange(Void), /// String literals. Strings are not quite the same as `&[u8]` so we treat them separately. Str(Void), /// Array and slice patterns. Slice(Slice), /// Constants that must not be matched structurally. They are treated as black /// boxes for the purposes of exhaustiveness: we must not inspect them, and they /// don't count towards making a match exhaustive. Opaque, /// Fake extra constructor for enums that aren't allowed to be matched exhaustively. Also used /// for those types for which we cannot list constructors explicitly, like `f64` and `str`. NonExhaustive, /// Stands for constructors that are not seen in the matrix, as explained in the documentation /// for [`SplitWildcard`]. The carried `bool` is used for the `non_exhaustive_omitted_patterns` /// lint. Missing { nonexhaustive_enum_missing_real_variants: bool }, /// Wildcard pattern. Wildcard, /// Or-pattern. Or, } impl Constructor { pub(super) fn is_wildcard(&self) -> bool { matches!(self, Wildcard) } pub(super) fn is_non_exhaustive(&self) -> bool { matches!(self, NonExhaustive) } fn as_int_range(&self) -> Option<&IntRange> { match self { IntRange(range) => Some(range), _ => None, } } fn as_slice(&self) -> Option { match self { Slice(slice) => Some(*slice), _ => None, } } pub(super) fn is_unstable_variant(&self, _pcx: PatCtxt<'_, '_>) -> bool { false //FIXME: implement this } pub(super) fn is_doc_hidden_variant(&self, _pcx: PatCtxt<'_, '_>) -> bool { false //FIXME: implement this } fn variant_id_for_adt(&self, adt: hir_def::AdtId) -> VariantId { match *self { Variant(id) => id.into(), Single => { assert!(!matches!(adt, hir_def::AdtId::EnumId(_))); match adt { hir_def::AdtId::EnumId(_) => unreachable!(), hir_def::AdtId::StructId(id) => id.into(), hir_def::AdtId::UnionId(id) => id.into(), } } _ => panic!("bad constructor {:?} for adt {:?}", self, adt), } } /// The number of fields for this constructor. This must be kept in sync with /// `Fields::wildcards`. pub(super) fn arity(&self, pcx: PatCtxt<'_, '_>) -> usize { match self { Single | Variant(_) => match *pcx.ty.kind(Interner) { TyKind::Tuple(arity, ..) => arity, TyKind::Ref(..) => 1, TyKind::Adt(adt, ..) => { if is_box(adt.0, pcx.cx.db) { // The only legal patterns of type `Box` (outside `std`) are `_` and box // patterns. If we're here we can assume this is a box pattern. 1 } else { let variant = self.variant_id_for_adt(adt.0); Fields::list_variant_nonhidden_fields(pcx.cx, pcx.ty, variant).count() } } _ => { never!("Unexpected type for `Single` constructor: {:?}", pcx.ty); 0 } }, Slice(slice) => slice.arity(), Str(..) | FloatRange(..) | IntRange(..) | NonExhaustive | Opaque | Missing { .. } | Wildcard => 0, Or => { never!("The `Or` constructor doesn't have a fixed arity"); 0 } } } /// Some constructors (namely `Wildcard`, `IntRange` and `Slice`) actually stand for a set of actual /// constructors (like variants, integers or fixed-sized slices). When specializing for these /// constructors, we want to be specialising for the actual underlying constructors. /// Naively, we would simply return the list of constructors they correspond to. We instead are /// more clever: if there are constructors that we know will behave the same wrt the current /// matrix, we keep them grouped. For example, all slices of a sufficiently large length /// will either be all useful or all non-useful with a given matrix. /// /// See the branches for details on how the splitting is done. /// /// This function may discard some irrelevant constructors if this preserves behavior and /// diagnostics. Eg. for the `_` case, we ignore the constructors already present in the /// matrix, unless all of them are. pub(super) fn split<'a>( &self, pcx: PatCtxt<'_, '_>, ctors: impl Iterator + Clone, ) -> SmallVec<[Self; 1]> { match self { Wildcard => { let mut split_wildcard = SplitWildcard::new(pcx); split_wildcard.split(pcx, ctors); split_wildcard.into_ctors(pcx) } // Fast-track if the range is trivial. In particular, we don't do the overlapping // ranges check. IntRange(ctor_range) if !ctor_range.is_singleton() => { let mut split_range = SplitIntRange::new(ctor_range.clone()); let int_ranges = ctors.filter_map(|ctor| ctor.as_int_range()); split_range.split(int_ranges.cloned()); split_range.iter().map(IntRange).collect() } Slice(slice) => match slice._unimplemented {}, // Any other constructor can be used unchanged. _ => smallvec![self.clone()], } } /// Returns whether `self` is covered by `other`, i.e. whether `self` is a subset of `other`. /// For the simple cases, this is simply checking for equality. For the "grouped" constructors, /// this checks for inclusion. // We inline because this has a single call site in `Matrix::specialize_constructor`. #[inline] pub(super) fn is_covered_by(&self, _pcx: PatCtxt<'_, '_>, other: &Self) -> bool { // This must be kept in sync with `is_covered_by_any`. match (self, other) { // Wildcards cover anything (_, Wildcard) => true, // The missing ctors are not covered by anything in the matrix except wildcards. (Missing { .. } | Wildcard, _) => false, (Single, Single) => true, (Variant(self_id), Variant(other_id)) => self_id == other_id, (IntRange(self_range), IntRange(other_range)) => self_range.is_covered_by(other_range), (FloatRange(void), FloatRange(..)) => match *void {}, (Str(void), Str(..)) => match *void {}, (Slice(self_slice), Slice(other_slice)) => self_slice.is_covered_by(*other_slice), // We are trying to inspect an opaque constant. Thus we skip the row. (Opaque, _) | (_, Opaque) => false, // Only a wildcard pattern can match the special extra constructor. (NonExhaustive, _) => false, _ => { never!("trying to compare incompatible constructors {:?} and {:?}", self, other); // Continue with 'whatever is covered' supposed to result in false no-error diagnostic. true } } } /// Faster version of `is_covered_by` when applied to many constructors. `used_ctors` is /// assumed to be built from `matrix.head_ctors()` with wildcards filtered out, and `self` is /// assumed to have been split from a wildcard. fn is_covered_by_any(&self, _pcx: PatCtxt<'_, '_>, used_ctors: &[Constructor]) -> bool { if used_ctors.is_empty() { return false; } // This must be kept in sync with `is_covered_by`. match self { // If `self` is `Single`, `used_ctors` cannot contain anything else than `Single`s. Single => !used_ctors.is_empty(), Variant(_) => used_ctors.iter().any(|c| c == self), IntRange(range) => used_ctors .iter() .filter_map(|c| c.as_int_range()) .any(|other| range.is_covered_by(other)), Slice(slice) => used_ctors .iter() .filter_map(|c| c.as_slice()) .any(|other| slice.is_covered_by(other)), // This constructor is never covered by anything else NonExhaustive => false, Str(..) | FloatRange(..) | Opaque | Missing { .. } | Wildcard | Or => { never!("found unexpected ctor in all_ctors: {:?}", self); true } } } } /// A wildcard constructor that we split relative to the constructors in the matrix, as explained /// at the top of the file. /// /// A constructor that is not present in the matrix rows will only be covered by the rows that have /// wildcards. Thus we can group all of those constructors together; we call them "missing /// constructors". Splitting a wildcard would therefore list all present constructors individually /// (or grouped if they are integers or slices), and then all missing constructors together as a /// group. /// /// However we can go further: since any constructor will match the wildcard rows, and having more /// rows can only reduce the amount of usefulness witnesses, we can skip the present constructors /// and only try the missing ones. /// This will not preserve the whole list of witnesses, but will preserve whether the list is empty /// or not. In fact this is quite natural from the point of view of diagnostics too. This is done /// in `to_ctors`: in some cases we only return `Missing`. #[derive(Debug)] pub(super) struct SplitWildcard { /// Constructors seen in the matrix. matrix_ctors: Vec, /// All the constructors for this type all_ctors: SmallVec<[Constructor; 1]>, } impl SplitWildcard { pub(super) fn new(pcx: PatCtxt<'_, '_>) -> Self { let cx = pcx.cx; let make_range = |start, end, scalar| IntRange(IntRange::from_range(start, end, scalar)); // Unhandled types are treated as non-exhaustive. Being explicit here instead of falling // to catchall arm to ease further implementation. let unhandled = || smallvec![NonExhaustive]; // This determines the set of all possible constructors for the type `pcx.ty`. For numbers, // arrays and slices we use ranges and variable-length slices when appropriate. // // If the `exhaustive_patterns` feature is enabled, we make sure to omit constructors that // are statically impossible. E.g., for `Option`, we do not include `Some(_)` in the // returned list of constructors. // Invariant: this is empty if and only if the type is uninhabited (as determined by // `cx.is_uninhabited()`). let all_ctors = match pcx.ty.kind(Interner) { TyKind::Scalar(Scalar::Bool) => smallvec![make_range(0, 1, Scalar::Bool)], // TyKind::Array(..) if ... => unhandled(), TyKind::Array(..) | TyKind::Slice(..) => unhandled(), TyKind::Adt(AdtId(hir_def::AdtId::EnumId(enum_id)), subst) => { let enum_data = cx.db.enum_data(*enum_id); // If the enum is declared as `#[non_exhaustive]`, we treat it as if it had an // additional "unknown" constructor. // There is no point in enumerating all possible variants, because the user can't // actually match against them all themselves. So we always return only the fictitious // constructor. // E.g., in an example like: // // ``` // let err: io::ErrorKind = ...; // match err { // io::ErrorKind::NotFound => {}, // } // ``` // // we don't want to show every possible IO error, but instead have only `_` as the // witness. let is_declared_nonexhaustive = cx.is_foreign_non_exhaustive_enum(pcx.ty); let is_exhaustive_pat_feature = cx.feature_exhaustive_patterns(); // If `exhaustive_patterns` is disabled and our scrutinee is an empty enum, we treat it // as though it had an "unknown" constructor to avoid exposing its emptiness. The // exception is if the pattern is at the top level, because we want empty matches to be // considered exhaustive. let is_secretly_empty = enum_data.variants.is_empty() && !is_exhaustive_pat_feature && !pcx.is_top_level; let mut ctors: SmallVec<[_; 1]> = enum_data .variants .iter() .map(|(local_id, _)| EnumVariantId { parent: *enum_id, local_id }) .filter(|&variant| { // If `exhaustive_patterns` is enabled, we exclude variants known to be // uninhabited. let is_uninhabited = is_exhaustive_pat_feature && is_enum_variant_uninhabited_from(variant, subst, cx.module, cx.db); !is_uninhabited }) .map(Variant) .collect(); if is_secretly_empty || is_declared_nonexhaustive { ctors.push(NonExhaustive); } ctors } TyKind::Scalar(Scalar::Char) => unhandled(), TyKind::Scalar(Scalar::Int(..) | Scalar::Uint(..)) => unhandled(), TyKind::Never if !cx.feature_exhaustive_patterns() && !pcx.is_top_level => { smallvec![NonExhaustive] } TyKind::Never => SmallVec::new(), _ if cx.is_uninhabited(pcx.ty) => SmallVec::new(), TyKind::Adt(..) | TyKind::Tuple(..) | TyKind::Ref(..) => smallvec![Single], // This type is one for which we cannot list constructors, like `str` or `f64`. _ => smallvec![NonExhaustive], }; SplitWildcard { matrix_ctors: Vec::new(), all_ctors } } /// Pass a set of constructors relative to which to split this one. Don't call twice, it won't /// do what you want. pub(super) fn split<'a>( &mut self, pcx: PatCtxt<'_, '_>, ctors: impl Iterator + Clone, ) { // Since `all_ctors` never contains wildcards, this won't recurse further. self.all_ctors = self.all_ctors.iter().flat_map(|ctor| ctor.split(pcx, ctors.clone())).collect(); self.matrix_ctors = ctors.filter(|c| !c.is_wildcard()).cloned().collect(); } /// Whether there are any value constructors for this type that are not present in the matrix. fn any_missing(&self, pcx: PatCtxt<'_, '_>) -> bool { self.iter_missing(pcx).next().is_some() } /// Iterate over the constructors for this type that are not present in the matrix. pub(super) fn iter_missing<'a, 'p>( &'a self, pcx: PatCtxt<'a, 'p>, ) -> impl Iterator + Captures<'p> { self.all_ctors.iter().filter(move |ctor| !ctor.is_covered_by_any(pcx, &self.matrix_ctors)) } /// Return the set of constructors resulting from splitting the wildcard. As explained at the /// top of the file, if any constructors are missing we can ignore the present ones. fn into_ctors(self, pcx: PatCtxt<'_, '_>) -> SmallVec<[Constructor; 1]> { if self.any_missing(pcx) { // Some constructors are missing, thus we can specialize with the special `Missing` // constructor, which stands for those constructors that are not seen in the matrix, // and matches the same rows as any of them (namely the wildcard rows). See the top of // the file for details. // However, when all constructors are missing we can also specialize with the full // `Wildcard` constructor. The difference will depend on what we want in diagnostics. // If some constructors are missing, we typically want to report those constructors, // e.g.: // ``` // enum Direction { N, S, E, W } // let Direction::N = ...; // ``` // we can report 3 witnesses: `S`, `E`, and `W`. // // However, if the user didn't actually specify a constructor // in this arm, e.g., in // ``` // let x: (Direction, Direction, bool) = ...; // let (_, _, false) = x; // ``` // we don't want to show all 16 possible witnesses `(, , // true)` - we are satisfied with `(_, _, true)`. So if all constructors are missing we // prefer to report just a wildcard `_`. // // The exception is: if we are at the top-level, for example in an empty match, we // sometimes prefer reporting the list of constructors instead of just `_`. let report_when_all_missing = pcx.is_top_level && !IntRange::is_integral(pcx.ty); let ctor = if !self.matrix_ctors.is_empty() || report_when_all_missing { if pcx.is_non_exhaustive { Missing { nonexhaustive_enum_missing_real_variants: self .iter_missing(pcx) .any(|c| !(c.is_non_exhaustive() || c.is_unstable_variant(pcx))), } } else { Missing { nonexhaustive_enum_missing_real_variants: false } } } else { Wildcard }; return smallvec![ctor]; } // All the constructors are present in the matrix, so we just go through them all. self.all_ctors } } /// A value can be decomposed into a constructor applied to some fields. This struct represents /// those fields, generalized to allow patterns in each field. See also `Constructor`. /// /// This is constructed for a constructor using [`Fields::wildcards()`]. The idea is that /// [`Fields::wildcards()`] constructs a list of fields where all entries are wildcards, and then /// given a pattern we fill some of the fields with its subpatterns. /// In the following example `Fields::wildcards` returns `[_, _, _, _]`. Then in /// `extract_pattern_arguments` we fill some of the entries, and the result is /// `[Some(0), _, _, _]`. /// ```rust /// let x: [Option; 4] = foo(); /// match x { /// [Some(0), ..] => {} /// } /// ``` /// /// Note that the number of fields of a constructor may not match the fields declared in the /// original struct/variant. This happens if a private or `non_exhaustive` field is uninhabited, /// because the code mustn't observe that it is uninhabited. In that case that field is not /// included in `fields`. For that reason, when you have a `mir::Field` you must use /// `index_with_declared_idx`. #[derive(Clone, Copy)] pub(super) struct Fields<'p> { fields: &'p [DeconstructedPat<'p>], } impl<'p> Fields<'p> { fn empty() -> Self { Fields { fields: &[] } } fn singleton(cx: &MatchCheckCtx<'_, 'p>, field: DeconstructedPat<'p>) -> Self { let field = cx.pattern_arena.alloc(field); Fields { fields: std::slice::from_ref(field) } } pub(super) fn from_iter( cx: &MatchCheckCtx<'_, 'p>, fields: impl IntoIterator>, ) -> Self { let fields: &[_] = cx.pattern_arena.alloc_extend(fields); Fields { fields } } fn wildcards_from_tys(cx: &MatchCheckCtx<'_, 'p>, tys: impl IntoIterator) -> Self { Fields::from_iter(cx, tys.into_iter().map(DeconstructedPat::wildcard)) } // In the cases of either a `#[non_exhaustive]` field list or a non-public field, we hide // uninhabited fields in order not to reveal the uninhabitedness of the whole variant. // This lists the fields we keep along with their types. fn list_variant_nonhidden_fields<'a>( cx: &'a MatchCheckCtx<'a, 'p>, ty: &'a Ty, variant: VariantId, ) -> impl Iterator + Captures<'a> + Captures<'p> { let (adt, substs) = ty.as_adt().unwrap(); let adt_is_local = variant.module(cx.db.upcast()).krate() == cx.module.krate(); // Whether we must not match the fields of this variant exhaustively. let is_non_exhaustive = is_field_list_non_exhaustive(variant, cx) && !adt_is_local; let visibility = cx.db.field_visibilities(variant); let field_ty = cx.db.field_types(variant); let fields_len = variant.variant_data(cx.db.upcast()).fields().len() as u32; (0..fields_len).map(|idx| LocalFieldId::from_raw(idx.into())).filter_map(move |fid| { let ty = field_ty[fid].clone().substitute(Interner, substs); let ty = normalize(cx.db, cx.body, ty); let is_visible = matches!(adt, hir_def::AdtId::EnumId(..)) || visibility[fid].is_visible_from(cx.db.upcast(), cx.module); let is_uninhabited = cx.is_uninhabited(&ty); if is_uninhabited && (!is_visible || is_non_exhaustive) { None } else { Some((fid, ty)) } }) } /// Creates a new list of wildcard fields for a given constructor. The result must have a /// length of `constructor.arity()`. pub(crate) fn wildcards( cx: &MatchCheckCtx<'_, 'p>, ty: &Ty, constructor: &Constructor, ) -> Self { let ret = match constructor { Single | Variant(_) => match ty.kind(Interner) { TyKind::Tuple(_, substs) => { let tys = substs.iter(Interner).map(|ty| ty.assert_ty_ref(Interner)); Fields::wildcards_from_tys(cx, tys.cloned()) } TyKind::Ref(.., rty) => Fields::wildcards_from_tys(cx, once(rty.clone())), &TyKind::Adt(AdtId(adt), ref substs) => { if is_box(adt, cx.db) { // The only legal patterns of type `Box` (outside `std`) are `_` and box // patterns. If we're here we can assume this is a box pattern. let subst_ty = substs.at(Interner, 0).assert_ty_ref(Interner).clone(); Fields::wildcards_from_tys(cx, once(subst_ty)) } else { let variant = constructor.variant_id_for_adt(adt); let tys = Fields::list_variant_nonhidden_fields(cx, ty, variant) .map(|(_, ty)| ty); Fields::wildcards_from_tys(cx, tys) } } ty_kind => { never!("Unexpected type for `Single` constructor: {:?}", ty_kind); Fields::wildcards_from_tys(cx, once(ty.clone())) } }, Slice(slice) => match slice._unimplemented {}, Str(..) | FloatRange(..) | IntRange(..) | NonExhaustive | Opaque | Missing { .. } | Wildcard => Fields::empty(), Or => { never!("called `Fields::wildcards` on an `Or` ctor"); Fields::empty() } }; ret } /// Returns the list of patterns. pub(super) fn iter_patterns<'a>( &'a self, ) -> impl Iterator> + Captures<'a> { self.fields.iter() } } /// Values and patterns can be represented as a constructor applied to some fields. This represents /// a pattern in this form. /// This also keeps track of whether the pattern has been found reachable during analysis. For this /// reason we should be careful not to clone patterns for which we care about that. Use /// `clone_and_forget_reachability` if you're sure. pub(crate) struct DeconstructedPat<'p> { ctor: Constructor, fields: Fields<'p>, ty: Ty, reachable: Cell, } impl<'p> DeconstructedPat<'p> { pub(super) fn wildcard(ty: Ty) -> Self { Self::new(Wildcard, Fields::empty(), ty) } pub(super) fn new(ctor: Constructor, fields: Fields<'p>, ty: Ty) -> Self { DeconstructedPat { ctor, fields, ty, reachable: Cell::new(false) } } /// Construct a pattern that matches everything that starts with this constructor. /// For example, if `ctor` is a `Constructor::Variant` for `Option::Some`, we get the pattern /// `Some(_)`. pub(super) fn wild_from_ctor(pcx: PatCtxt<'_, 'p>, ctor: Constructor) -> Self { let fields = Fields::wildcards(pcx.cx, pcx.ty, &ctor); DeconstructedPat::new(ctor, fields, pcx.ty.clone()) } /// Clone this value. This method emphasizes that cloning loses reachability information and /// should be done carefully. pub(super) fn clone_and_forget_reachability(&self) -> Self { DeconstructedPat::new(self.ctor.clone(), self.fields, self.ty.clone()) } pub(crate) fn from_pat(cx: &MatchCheckCtx<'_, 'p>, pat: &Pat) -> Self { let mkpat = |pat| DeconstructedPat::from_pat(cx, pat); let ctor; let fields; match pat.kind.as_ref() { PatKind::Binding { subpattern: Some(subpat), .. } => return mkpat(subpat), PatKind::Binding { subpattern: None, .. } | PatKind::Wild => { ctor = Wildcard; fields = Fields::empty(); } PatKind::Deref { subpattern } => { ctor = Single; fields = Fields::singleton(cx, mkpat(subpattern)); } PatKind::Leaf { subpatterns } | PatKind::Variant { subpatterns, .. } => { match pat.ty.kind(Interner) { TyKind::Tuple(_, substs) => { ctor = Single; let mut wilds: SmallVec<[_; 2]> = substs .iter(Interner) .map(|arg| arg.assert_ty_ref(Interner).clone()) .map(DeconstructedPat::wildcard) .collect(); for pat in subpatterns { let idx: u32 = pat.field.into_raw().into(); wilds[idx as usize] = mkpat(&pat.pattern); } fields = Fields::from_iter(cx, wilds) } TyKind::Adt(adt, substs) if is_box(adt.0, cx.db) => { // The only legal patterns of type `Box` (outside `std`) are `_` and box // patterns. If we're here we can assume this is a box pattern. // FIXME(Nadrieril): A `Box` can in theory be matched either with `Box(_, // _)` or a box pattern. As a hack to avoid an ICE with the former, we // ignore other fields than the first one. This will trigger an error later // anyway. // See https://github.com/rust-lang/rust/issues/82772 , // explanation: https://github.com/rust-lang/rust/pull/82789#issuecomment-796921977 // The problem is that we can't know from the type whether we'll match // normally or through box-patterns. We'll have to figure out a proper // solution when we introduce generalized deref patterns. Also need to // prevent mixing of those two options. let pat = subpatterns.iter().find(|pat| pat.field.into_raw() == 0u32.into()); let field = if let Some(pat) = pat { mkpat(&pat.pattern) } else { let ty = substs.at(Interner, 0).assert_ty_ref(Interner).clone(); DeconstructedPat::wildcard(ty) }; ctor = Single; fields = Fields::singleton(cx, field) } &TyKind::Adt(adt, _) => { ctor = match pat.kind.as_ref() { PatKind::Leaf { .. } => Single, PatKind::Variant { enum_variant, .. } => Variant(*enum_variant), _ => { never!(); Wildcard } }; let variant = ctor.variant_id_for_adt(adt.0); let fields_len = variant.variant_data(cx.db.upcast()).fields().len(); // For each field in the variant, we store the relevant index into `self.fields` if any. let mut field_id_to_id: Vec> = vec![None; fields_len]; let tys = Fields::list_variant_nonhidden_fields(cx, &pat.ty, variant) .enumerate() .map(|(i, (fid, ty))| { let field_idx: u32 = fid.into_raw().into(); field_id_to_id[field_idx as usize] = Some(i); ty }); let mut wilds: SmallVec<[_; 2]> = tys.map(DeconstructedPat::wildcard).collect(); for pat in subpatterns { let field_idx: u32 = pat.field.into_raw().into(); if let Some(i) = field_id_to_id[field_idx as usize] { wilds[i] = mkpat(&pat.pattern); } } fields = Fields::from_iter(cx, wilds); } _ => { never!("pattern has unexpected type: pat: {:?}, ty: {:?}", pat, &pat.ty); ctor = Wildcard; fields = Fields::empty(); } } } &PatKind::LiteralBool { value } => { ctor = IntRange(IntRange::from_bool(value)); fields = Fields::empty(); } PatKind::Or { .. } => { ctor = Or; let pats: SmallVec<[_; 2]> = expand_or_pat(pat).into_iter().map(mkpat).collect(); fields = Fields::from_iter(cx, pats) } } DeconstructedPat::new(ctor, fields, pat.ty.clone()) } pub(crate) fn to_pat(&self, cx: &MatchCheckCtx<'_, 'p>) -> Pat { let mut subpatterns = self.iter_fields().map(|p| p.to_pat(cx)); let pat = match &self.ctor { Single | Variant(_) => match self.ty.kind(Interner) { TyKind::Tuple(..) => PatKind::Leaf { subpatterns: subpatterns .zip(0u32..) .map(|(p, i)| FieldPat { field: LocalFieldId::from_raw(i.into()), pattern: p, }) .collect(), }, TyKind::Adt(adt, _) if is_box(adt.0, cx.db) => { // Without `box_patterns`, the only legal pattern of type `Box` is `_` (outside // of `std`). So this branch is only reachable when the feature is enabled and // the pattern is a box pattern. PatKind::Deref { subpattern: subpatterns.next().unwrap() } } TyKind::Adt(adt, substs) => { let variant = self.ctor.variant_id_for_adt(adt.0); let subpatterns = Fields::list_variant_nonhidden_fields(cx, self.ty(), variant) .zip(subpatterns) .map(|((field, _ty), pattern)| FieldPat { field, pattern }) .collect(); if let VariantId::EnumVariantId(enum_variant) = variant { PatKind::Variant { substs: substs.clone(), enum_variant, subpatterns } } else { PatKind::Leaf { subpatterns } } } // Note: given the expansion of `&str` patterns done in `expand_pattern`, we should // be careful to reconstruct the correct constant pattern here. However a string // literal pattern will never be reported as a non-exhaustiveness witness, so we // ignore this issue. TyKind::Ref(..) => PatKind::Deref { subpattern: subpatterns.next().unwrap() }, _ => { never!("unexpected ctor for type {:?} {:?}", self.ctor, self.ty); PatKind::Wild } }, &Slice(slice) => match slice._unimplemented {}, &Str(void) => match void {}, &FloatRange(void) => match void {}, IntRange(range) => return range.to_pat(cx, self.ty.clone()), Wildcard | NonExhaustive => PatKind::Wild, Missing { .. } => { never!( "trying to convert a `Missing` constructor into a `Pat`; this is a bug, \ `Missing` should have been processed in `apply_constructors`" ); PatKind::Wild } Opaque | Or => { never!("can't convert to pattern: {:?}", self.ctor); PatKind::Wild } }; Pat { ty: self.ty.clone(), kind: Box::new(pat) } } pub(super) fn is_or_pat(&self) -> bool { matches!(self.ctor, Or) } pub(super) fn ctor(&self) -> &Constructor { &self.ctor } pub(super) fn ty(&self) -> &Ty { &self.ty } pub(super) fn iter_fields<'a>(&'a self) -> impl Iterator> + 'a { self.fields.iter_patterns() } /// Specialize this pattern with a constructor. /// `other_ctor` can be different from `self.ctor`, but must be covered by it. pub(super) fn specialize<'a>( &'a self, cx: &MatchCheckCtx<'_, 'p>, other_ctor: &Constructor, ) -> SmallVec<[&'p DeconstructedPat<'p>; 2]> { match (&self.ctor, other_ctor) { (Wildcard, _) => { // We return a wildcard for each field of `other_ctor`. Fields::wildcards(cx, &self.ty, other_ctor).iter_patterns().collect() } (Slice(self_slice), Slice(other_slice)) if self_slice.arity() != other_slice.arity() => { match self_slice._unimplemented {} } _ => self.fields.iter_patterns().collect(), } } /// We keep track for each pattern if it was ever reachable during the analysis. This is used /// with `unreachable_spans` to report unreachable subpatterns arising from or patterns. pub(super) fn set_reachable(&self) { self.reachable.set(true) } pub(super) fn is_reachable(&self) -> bool { self.reachable.get() } } fn is_field_list_non_exhaustive(variant_id: VariantId, cx: &MatchCheckCtx<'_, '_>) -> bool { let attr_def_id = match variant_id { VariantId::EnumVariantId(id) => id.into(), VariantId::StructId(id) => id.into(), VariantId::UnionId(id) => id.into(), }; cx.db.attrs(attr_def_id).by_key("non_exhaustive").exists() }